Graph Sensor Data with Python and Matplotlib

Introduction

Python is a wonderful high-level programming language that lets us quickly capture data, perform calculations, and even make simple drawings, such as graphs. Several graphical libraries are available for us to use, but we will be focusing on matplotlib in this guide. Matplotlib was created as a plotting tool to rival those found in other software packages, such as MATLAB. Creating 2D graphs to demonstrate mathematical concepts, visualize statistics, or monitor sensor data can be accomplished in just a few lines of code with matplotlib.

The Raspberry Pi is a great platform for connecting sensors (thanks to the exposed GPIO pins), collecting data via Python, and displaying live plots on a monitor.

Notice: This tutorial was written with Raspbian version "June 2018" and Python version 3.5.3. Other versions may affect how some of the steps in this guide are performed.

Required Materials

To work through the activities in this tutorial, you will need a few pieces of hardware:

Optional Materials

You have several options when it comes to working with the Raspberry Pi. Most commonly, the Pi is used as a standalone computer, which requires a monitor, keyboard, and mouse (listed below). To save on costs, the Pi can also be used as a headless computer (without a monitor, keyboard, and mouse).

Note that for this tutorial, you will need access to the Raspbian (or other Linux) graphical interface (known as the desktop). As a result, the two recommended ways to interact with your Pi is through a monitor, keyboard, and mouse or by using Virtual Network Computing (VNC).

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